Domain Adaptive Semantic Segmentation via Entropy-Ranking and Uncertain Learning-Based Self-Training

Dear Editor,This letter develops two new self-training strategies for domain adaptive semantic segmentation,which formulate self-training into the processes of mining more training samples and reducing influence of the false pseudo-labels.Particularly,a self-training strategy based on entropy-ranking is proposed to mine intra-domain information.